Pedro Las-Casas

Senior Research SDE

Connect on 링크드인

출판물

자료 보기:

- Automated Service Design with Cerulean (Project Showcase)
  
  Vaastav Anand, Alok Kumbhare, Celine Irvene, Chetan Bansal, Gagan Somashekar, Jonathan Mace, Pedro Las-Casas, Ricardo Bianchini, Rodrigo Fonseca
  
  2025 IEEE/ACM International Workshop on Cloud Intelligence & AIOps (AIOps) | May 2025, pp. 1-3
  
  DOI Publication
- Intent-based System Design and Operation
  
  Vaastav Anand, Yichen Li, Alok Kumbhare, Celine Irvene, Chetan Bansal, Gagan Somashekar, Jonathan Mace, Pedro Las-Casas, Ricardo Bianchini, Rodrigo Fonseca
  
  Proceedings of the 4th Workshop on Practical Adoption Challenges of ML for Systems | February 2025
  
  DOI Publication Publication
- Building AI Agents for Autonomous Clouds: Challenges and Design Principles
  
  Manisha M Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh L. Simmhan, Xuchao Zhang, Jonathan Mace, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan
  
  2024 Symposium on Cloud Computing | November 2024
  
  Publication
- LLexus: an AI agent system for incident management
  
  Pedro Las-Casas, Alok Kumbhare, Rodrigo Fonseca, Sharad Agarwal
  
  ACM SIGOPS Operating Systems Review | August 2024
  
  Publication
- Exploring LLM-based Agents for Root Cause Analysis
  
  Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
  
  FSE '24: 32nd ACM International Conference on the Foundations of Software Engineering | July 2024
  
  Publication 프로젝트
- PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis
  
  Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
  
  September 2023
  
  Publication
- Sifter: Scalable Sampling for Distributed Traces, without Feature Engineering
  
  Pedro Las-Casas, Giorgi Papakerashvili, Vaastav Anand, Jonathan Mace
  
  2019 Symposium on Cloud Computing | November 2019
  
  DOI PDF Author's Version
- Weighted Sampling of Execution Traces: Capturing More Needles and Less Hay
  
  Pedro Las-Casas, Jonathan Mace, Dorgival Guedes, Rodrigo Fonseca
  
  2018 Symposium on Cloud Computing | October 2018
  
  DOI Publication Author's Version

- Automated Service Design with Cerulean (Project Showcase)
  
  Vaastav Anand, Alok Kumbhare, Celine Irvene, Chetan Bansal, Gagan Somashekar, Jonathan Mace, Pedro Las-Casas, Ricardo Bianchini, Rodrigo Fonseca
  
  2025 IEEE/ACM International Workshop on Cloud Intelligence & AIOps (AIOps) | May 2025, pp. 1-3
  
  DOI Publication
- Intent-based System Design and Operation
  
  Vaastav Anand, Yichen Li, Alok Kumbhare, Celine Irvene, Chetan Bansal, Gagan Somashekar, Jonathan Mace, Pedro Las-Casas, Ricardo Bianchini, Rodrigo Fonseca
  
  Proceedings of the 4th Workshop on Practical Adoption Challenges of ML for Systems | February 2025
  
  DOI Publication Publication
- Building AI Agents for Autonomous Clouds: Challenges and Design Principles
  
  Manisha M Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh L. Simmhan, Xuchao Zhang, Jonathan Mace, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan
  
  2024 Symposium on Cloud Computing | November 2024
  
  Publication
- LLexus: an AI agent system for incident management
  
  Pedro Las-Casas, Alok Kumbhare, Rodrigo Fonseca, Sharad Agarwal
  
  ACM SIGOPS Operating Systems Review | August 2024
  
  Publication
- Exploring LLM-based Agents for Root Cause Analysis
  
  Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
  
  FSE '24: 32nd ACM International Conference on the Foundations of Software Engineering | July 2024
  
  Publication 프로젝트
- PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis
  
  Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
  
  September 2023
  
  Publication
- Automated Service Design with Cerulean (Project Showcase)
  
  Vaastav Anand, Alok Kumbhare, Celine Irvene, Chetan Bansal, Gagan Somashekar, Jonathan Mace, Pedro Las-Casas, Ricardo Bianchini, Rodrigo Fonseca
  
  2025 IEEE/ACM International Workshop on Cloud Intelligence & AIOps (AIOps) | May 2025, pp. 1-3
  
  DOI Publication
- Intent-based System Design and Operation
  
  Vaastav Anand, Yichen Li, Alok Kumbhare, Celine Irvene, Chetan Bansal, Gagan Somashekar, Jonathan Mace, Pedro Las-Casas, Ricardo Bianchini, Rodrigo Fonseca
  
  Proceedings of the 4th Workshop on Practical Adoption Challenges of ML for Systems | February 2025
  
  DOI Publication Publication
- Building AI Agents for Autonomous Clouds: Challenges and Design Principles
  
  Manisha M Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh L. Simmhan, Xuchao Zhang, Jonathan Mace, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan
  
  2024 Symposium on Cloud Computing | November 2024
  
  Publication
- Automated Service Design with Cerulean (Project Showcase)
  
  Vaastav Anand, Alok Kumbhare, Celine Irvene, Chetan Bansal, Gagan Somashekar, Jonathan Mace, Pedro Las-Casas, Ricardo Bianchini, Rodrigo Fonseca
  
  2025 IEEE/ACM International Workshop on Cloud Intelligence & AIOps (AIOps) | May 2025, pp. 1-3
  
  DOI Publication
- Intent-based System Design and Operation
  
  Vaastav Anand, Yichen Li, Alok Kumbhare, Celine Irvene, Chetan Bansal, Gagan Somashekar, Jonathan Mace, Pedro Las-Casas, Ricardo Bianchini, Rodrigo Fonseca
  
  Proceedings of the 4th Workshop on Practical Adoption Challenges of ML for Systems | February 2025
  
  DOI Publication Publication
- Building AI Agents for Autonomous Clouds: Challenges and Design Principles
  
  Manisha M Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh L. Simmhan, Xuchao Zhang, Jonathan Mace, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan
  
  2024 Symposium on Cloud Computing | November 2024
  
  Publication
- LLexus: an AI agent system for incident management
  
  Pedro Las-Casas, Alok Kumbhare, Rodrigo Fonseca, Sharad Agarwal
  
  ACM SIGOPS Operating Systems Review | August 2024
  
  Publication
- PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis
  
  Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
  
  September 2023
  
  Publication
- Sifter: Scalable Sampling for Distributed Traces, without Feature Engineering
  
  Pedro Las-Casas, Giorgi Papakerashvili, Vaastav Anand, Jonathan Mace
  
  2019 Symposium on Cloud Computing | November 2019
  
  DOI PDF Author's Version
- Weighted Sampling of Execution Traces: Capturing More Needles and Less Hay
  
  Pedro Las-Casas, Jonathan Mace, Dorgival Guedes, Rodrigo Fonseca
  
  2018 Symposium on Cloud Computing | October 2018
  
  DOI Publication Author's Version
- Exploring LLM-based Agents for Root Cause Analysis
  
  Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
  
  FSE '24: 32nd ACM International Conference on the Foundations of Software Engineering | July 2024
  
  Publication 프로젝트

- Automated Service Design with Cerulean (Project Showcase)
  
  Vaastav Anand, Alok Kumbhare, Celine Irvene, Chetan Bansal, Gagan Somashekar, Jonathan Mace, Pedro Las-Casas, Ricardo Bianchini, Rodrigo Fonseca
  
  2025 IEEE/ACM International Workshop on Cloud Intelligence & AIOps (AIOps) | May 2025, pp. 1-3
  
  DOI Publication
- Intent-based System Design and Operation
  
  Vaastav Anand, Yichen Li, Alok Kumbhare, Celine Irvene, Chetan Bansal, Gagan Somashekar, Jonathan Mace, Pedro Las-Casas, Ricardo Bianchini, Rodrigo Fonseca
  
  Proceedings of the 4th Workshop on Practical Adoption Challenges of ML for Systems | February 2025
  
  DOI Publication Publication
- LLexus: an AI agent system for incident management
  
  Pedro Las-Casas, Alok Kumbhare, Rodrigo Fonseca, Sharad Agarwal
  
  ACM SIGOPS Operating Systems Review | August 2024
  
  Publication
- Building AI Agents for Autonomous Clouds: Challenges and Design Principles
  
  Manisha M Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh L. Simmhan, Xuchao Zhang, Jonathan Mace, Pedro Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan
  
  2024 Symposium on Cloud Computing | November 2024
  
  Publication
- Exploring LLM-based Agents for Root Cause Analysis
  
  Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
  
  FSE '24: 32nd ACM International Conference on the Foundations of Software Engineering | July 2024
  
  Publication 프로젝트
- Sifter: Scalable Sampling for Distributed Traces, without Feature Engineering
  
  Pedro Las-Casas, Giorgi Papakerashvili, Vaastav Anand, Jonathan Mace
  
  2019 Symposium on Cloud Computing | November 2019
  
  DOI PDF Author's Version
- Weighted Sampling of Execution Traces: Capturing More Needles and Less Hay
  
  Pedro Las-Casas, Jonathan Mace, Dorgival Guedes, Rodrigo Fonseca
  
  2018 Symposium on Cloud Computing | October 2018
  
  DOI Publication Author's Version
- PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis
  
  Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
  
  September 2023
  
  Publication

Pedro Las-Casas

출판물

Automated Service Design with Cerulean (Project Showcase)

Intent-based System Design and Operation

Building AI Agents for Autonomous Clouds: Challenges and Design Principles

LLexus: an AI agent system for incident management

Exploring LLM-based Agents for Root Cause Analysis

PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis

Sifter: Scalable Sampling for Distributed Traces, without Feature Engineering

Weighted Sampling of Execution Traces: Capturing More Needles and Less Hay

Automated Service Design with Cerulean (Project Showcase)

Intent-based System Design and Operation

Building AI Agents for Autonomous Clouds: Challenges and Design Principles

LLexus: an AI agent system for incident management

Exploring LLM-based Agents for Root Cause Analysis

PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis

Automated Service Design with Cerulean (Project Showcase)

Intent-based System Design and Operation

Building AI Agents for Autonomous Clouds: Challenges and Design Principles

Automated Service Design with Cerulean (Project Showcase)

Intent-based System Design and Operation

Building AI Agents for Autonomous Clouds: Challenges and Design Principles

LLexus: an AI agent system for incident management

PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis

Sifter: Scalable Sampling for Distributed Traces, without Feature Engineering

Weighted Sampling of Execution Traces: Capturing More Needles and Less Hay

Exploring LLM-based Agents for Root Cause Analysis

Automated Service Design with Cerulean (Project Showcase)

Intent-based System Design and Operation

LLexus: an AI agent system for incident management

Building AI Agents for Autonomous Clouds: Challenges and Design Principles

Exploring LLM-based Agents for Root Cause Analysis

Sifter: Scalable Sampling for Distributed Traces, without Feature Engineering

Weighted Sampling of Execution Traces: Capturing More Needles and Less Hay

PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis